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High-speed recursive digital filters based on the frequency-response masking approach

Content Provider	IEEE Xplore Digital Library
Author	Johansson, H. Wanhammar, L.
Copyright Year	1992
Abstract	The frequency-response masking approach for highspeed recursive infinite-impulse response (IIR) digital filters is introduced. In this approach, the overall filter consists of a periodic model filter, its power-complementary periodic filter, and two masking filters. The model filters are composed of two all-pass filters in parallel, whereas the masking filters are linear-phase finite-impulse response (FIR) filters. The transfer functions of the all-pass filters are functions of z/sup M/, which implies that the maximal sample frequency for the overall filter is M times that of the corresponding conventional IIR filter. The maximal sample frequency can be increased to an arbitrary level for arbitrary bandwidths. The overall filter can be designed by separately optimizing the model and masking filters with the aid of conventional approximation techniques. The obtained overall filter also serves as a good initial filter for further optimization. Both nonlinear-phase and approximately linear-phase filters are considered. By using the new approach, the potential problems of pole-zero cancellations, which are inherent in algorithm transformation techniques, are avoided. Further, robust filters under finite-arithmetic conditions can always be obtained by using wave-digital all-pass filters and nonrecursive FIR filters. Several design examples are included illustrating the properties of the new filters.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	48
Ending Page	61
Page Count	14
File Size	403241
File Format	PDF
ISSN	10577130
Volume Number	47
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital filters Frequency Finite impulse response filter IIR filters Low pass filters Transfer functions Delay Narrowband Energy consumption Clustering algorithms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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